101 citations as recorded by crossref.

1. Rainfall intensity–duration thresholds for the initiation of landslides in Zhejiang Province, China T. Ma et al.
2. Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model S. Jeong et al.
3. Soil characterization for shallow landslides modeling: a case study in the Northern Apennines (Central Italy) V. Tofani et al.
4. A process-based model for the definition of hydrological alert systems in landslide risk mitigation M. Floris et al.
5. Influence of soil mechanical and hydraulic parameters on the definition of rainfall intensity and duration thresholds based on Transient rainfall infiltration and grid-based regional slope-stability model (TRIGRS) S. Zhang et al.
6. Predictive Power Evaluation of a Physically Based Model for Shallow Landslides in the Area of Oltrepò Pavese, Northern Italy R. Valentino et al.
7. Landslide displacement prediction based on multi-source data fusion and sensitivity states Y. Liu et al.
8. MAT.TRIGRS (V1.0): A new open-source tool for predicting spatiotemporal distribution of rainfall-induced landslides S. Ma et al.
9. Assessment of Landslide Susceptibility of the Wiśnickie Foothills Mts. (The Flysch Carpathians, Poland) Using Selected Machine Learning Algorithms T. Zydroń et al.
10. A simplified semi-quantitative procedure based on the SLIP model for landslide risk assessment: the case study of Gioiosa Marea (Sicily, Italy) M. Gatto et al.
11. Probabilistic failure analysis of infinite slopes under random rainfall processes and spatially variable soil J. Yuan et al.
12. Landslide hazard assessment: recent trends and techniques S. Pardeshi et al.
13. Evaluation of the influence of soil mechanical parameters on the position of rainfall thresholds for shallow landslides M. Velásquez & R. Marin
14. Are real-world shallow landslides reproducible by physically-based models? Four test cases in the Laternser valley, Vorarlberg (Austria) T. Zieher et al.
15. A Watershed-Based Debris Flow Early Warning System Using Sensor Web Enabling Techniques in Heterogeneous Environments J. Chiu et al.
16. Assessment of Landslide Susceptibility of Physically Based Model Considering Characteristics of the Unsaturated Soil J. Kim & H. Park
17. Modeling the spatial occurrence of shallow landslides triggered by typhoons K. Chang et al.
18. Soil Water Content Estimated by Support Vector Machine for the Assessment of Shallow Landslides Triggering: the Role of Antecedent Meteorological Conditions M. Bordoni et al.
19. Effect of Digital Elevation Model Resolution on Shallow Landslide Modeling Using TRIGRS T. Viet et al.
20. Improving the reliability of landslide susceptibility mapping through spatial uncertainty analysis: a case study of Al Hoceima, Northern Morocco H. Rahali
21. Landslide prediction, monitoring and early warning: a concise review of state-of-the-art B. Chae et al.
22. Introducing SlideforMAP: a probabilistic finite slope approach for modelling shallow-landslide probability in forested situations F. van Zadelhoff et al.
23. The role of plants in the prevention of soil-slip: the G-SLIP model and its application on territorial scale through G-XSLIP platform L. Montrasio et al.
24. Survey of spatial and temporal landslide prediction methods and techniques
25. Accelerating Effect of Vegetation on the Instability of Rainfall-Induced Shallow Landslides J. Zhang et al.
26. A Quantitative Analysis Method of Regional Rainfall-Induced Landslide Deformation Response Variation Based on a Time-Domain Correlation Model T. Wu et al.
27. Experimental study on the deformation and failure of a cut slope under rainfall J. Gan et al.
28. Landslide susceptibility assessment by TRIGRS in a frequently affected shallow instability area M. Ciurleo et al.
29. Adaptive neuro-fuzzy inference system (ANFIS) modeling for landslide susceptibility assessment in a Mediterranean hilly area C. Polykretis et al.
30. Probabilistic and physically-based modelling of rainfall-induced landslide susceptibility using integrated GIS-FORM algorithm H. Cui et al.
31. Investigating the Reliability of Stationary Design Rainfall in a Mediterranean Region under a Changing Climate D. Treppiedi et al.
32. A dynamic landslide hazard assessment system for Central America and Hispaniola D. Kirschbaum et al.
33. Visualization analysis of rainfall-induced landslides hazards based on remote sensing and geographic information system-an overview Z. Yang et al.
34. Incorporating Rainfall Forecast Data in X-SLIP Platform to Predict the Triggering of Rainfall-Induced Shallow Landslides in Real Time M. Gatto
35. A novel approach for the computation of soil slope stability in distributed hydrologic applications R. Bonomelli et al.
36. Physically-based landslide susceptibility analysis using Monte Carlo simulation in a tropical mountain basin R. Marin & Á. Mattos
37. An integrated approach to the study of catastrophic debris-flows: geological hazard and human influence C. Del Ventisette et al.
38. Application of a process-based shallow landslide hazard model over a broad area in Central Italy E. Gioia et al.
39. A Statistical Mobilization Criterion for Debris-flow S. Yoon et al.
40. Prediction of shallow landslide occurrence: Validation of a physically-based approach through a real case study L. Schilirò et al.
41. Evaluation and Prediction of Landslide Susceptibility in Yichang Section of Yangtze River Basin Based on Integrated Deep Learning Algorithm L. Chang et al.
42. Comparison and evaluation of landslide susceptibility maps obtained from weight of evidence, logistic regression, and artificial neural network models C. Polykretis & C. Chalkias
43. A multi-objective physics-informed machine learning framework for landslide susceptibility mapping H. Cui et al.
44. Rapid prediction of rainfall-induced landslides over a wide area aided by a simulation-based surrogate model K. Tozato et al.
45. Hazard Mapping of Rainfall-induced Shallow Landslide in Phetchabun, Thailand K. ONO et al.
46. Dynamic Hazard Assessment of Rainfall-Induced Landslides Using Gradient Boosting Decision Tree with Google Earth Engine in Three Gorges Reservoir Area, China K. Yang et al.
47. GIS-based prediction method of landslide susceptibility using a rainfall infiltration-groundwater flow model J. Kim et al.
48. Physical and numerical modelling of shallow landslides L. Montrasio et al.
49. Comparing the performance of TRIGRS and TiVaSS in spatial and temporal prediction of rainfall-induced shallow landslides T. Tran et al.
50. Landslide and debris flow susceptibility zonation using TRIGRS for the 2011 Seoul landslide event D. Park et al.
51. The Dynamic Change and Effect of Rainfall Induced Groundwater Flow Y. He et al.
52. State fusion entropy for continuous and site-specific analysis of landslide stability changing regularities Y. Liu et al.
53. Assessing two methods of defining rainfall intensity and duration thresholds for shallow landslides in data-scarce catchments of the Colombian Andean Mountains R. Marin et al.
54. Space-time prediction of rainfall-induced shallow landslides through Artificial Neural Networks in comparison with the SLIP model M. Gatto et al.
55. Derivation of Landslide Rainfall Thresholds by Geostatistical Methods in Southwest China Z. Xu et al.
56. Assessing probability of failure of urban landslides through rapid characterization of soil properties and vegetation distribution S. Fiolleau et al.
57. Hydrologic-geotechnical modelling of shallow landslide and flood hazards caused by heavy rainfall N. Dolojan et al.
58. Rainfall infiltration and slope stability of alpine colluvial terraces subject to storms (NE Italy) P. Paronuzzi & A. Bolla
59. Slope susceptibility map for preventive measures against rainfall-induced slope failure H. Rahardjo et al.
60. Comparison between different approaches to modeling shallow landslide susceptibility: a case history in Oltrepo Pavese, Northern Italy D. Zizioli et al.
61. A review on spatial, temporal and magnitude prediction of landslide hazard A. Tyagi et al.
62. Rainfall-induced shallow landslides triggered after vegetation removed because of fires: G-XSLIP application to Gioiosa Marea (Sicily, Italy) M. Gatto et al.
63. Geotechnical and hydrological characterization of hillslope deposits for regional landslide prediction modeling G. Bicocchi et al.
64. Learning in an interactive simulation tool against landslide risks: the role of strength and availability of experiential feedback P. Chaturvedi et al.
65. Deterministic approach for susceptibility assessment of shallow debris slide in the Darjeeling Himalayas, India S. Sarkar et al.
66. A prototype system for space–time assessment of rainfall-induced shallow landslides in Italy L. Montrasio et al.
67. X-SLIP: A SLIP-based multi-approach algorithm to predict the spatial–temporal triggering of rainfall-induced shallow landslides over large areas M. Placido Antonio Gatto & L. Montrasio
68. A systematic review on rainfall thresholds for landslides occurrence F. Gonzalez et al.
69. A comparison of statistical and deterministic methods for shallow landslide susceptibility zoning in clayey soils M. Ciurleo et al.
70. Effect of Rainfall Intensity on Landslide Initiation: Flume Tests and Numerical Analysis Q. Tang et al.
71. Hydrological factors affecting rainfall-induced shallow landslides: From the field monitoring to a simplified slope stability analysis M. Bordoni et al.
72. A hybrid data-driven approach for rainfall-induced landslide susceptibility mapping: Physically-based probabilistic model with convolutional neural network H. Cui et al.
73. A physics-based probabilistic forecasting model for rainfall-induced shallow landslides at regional scale S. Zhang et al.
74. Quantitative comparison between two different methodologies to define rainfall thresholds for landslide forecasting D. Lagomarsino et al.
75. Ensemble learning for landslide susceptibility mapping: a review of machine learning and hybrid approaches H. Jiang et al.
76. Predicción de zonas susceptible a los procesos de remoción masa aplicando el modelo matemático red neuronal artificial en la localidad de Guatapurí y Chemesquemena, Colombia J. Estrada-Romero et al.
77. Improving Slope Stability Estimates by Incorporating Geophysical and Remote Sensing Monitoring Data into Hydro-Geomechanical Modeling S. Fiolleau et al.
78. On the Use of MATLAB to Import and Manipulate Geographic Data: A Tool for Landslide Susceptibility Assessment M. Gatto et al.
79. Development of time-variant landslide-prediction software considering three-dimensional subsurface unsaturated flow H. An et al.
80. Physically based modelling techniques for landslide susceptibility analysis: A comparison V. Meena et al.
81. Developing an Accessible Landslide Susceptibility Model Using Open-Source Resources K. An et al.
82. Rainfall-induced landslide risk: the state of the art and future needs T. Wang et al.
83. Influence of hydraulic properties on physically modelling slope stability and the definition of rainfall thresholds for shallow landslides R. Marin & M. Velásquez
84. Assessing landslide susceptibility mapping in the Sikkim Himalayas using an ensemble machine learning approach I. Poddar & R. Roy
85. Understanding shallow landslides in Campos do Jordão municipality – Brazil: disentangling the anthropic effects from natural causes in the disaster of 2000 R. Mendes et al.
86. Interpreting the formation mechanism of a complex landslide: a case study of a reactivated landslide of a reinforced embankment slope Q. Huang et al.
87. Modelling Rainfall-induced Shallow Landslides at Different Scales Using SLIP - Part II L. Montrasio & R. Valentino
88. Experimentación reducida-controlada in situ del deslizamiento de suelo por efecto de flujo subsuperficial de agua E. Teófilo Salvador et al.
89. Assessment of rainfall-induced landslide susceptibility at the regional scale using a physically based model and fuzzy-based Monte Carlo simulation H. Park et al.
90. Prediction of Shallow Rainfall-Induced Landslides Using Shear Strength of Unsaturated Soil S. Ravindran & I. Gratchev
91. Physically based and distributed rainfall intensity and duration thresholds for shallow landslides R. Marin
92. Influence of subsurface flow by Lidar DEMs and physical soil strength considering a simple hydrologic concept for shallow landslide instability mapping S. Kim et al.
93. Assessment of sudden sediment source areas incurred by extreme rainfall in a mountainous environment: Approach using a subsurface hydrologic concept M. Kim et al.
94. Estimation of Rainfall-Induced Landslides Using the TRIGRS Model A. Dikshit et al.
95. Mapping method of rainfall-induced landslide hazards by infiltration and slope stability analysis N. Dolojan et al.
96. Developing Real-Time Nowcasting System for Regional Landslide Hazard Assessment under Extreme Rainfall Events Y. Deng et al.
97. Assessment of rainfall-induced shallow landslides in Phetchabun and Krabi provinces, Thailand K. Ono et al.
98. Understanding the sensitivity to the soil properties and rainfall conditions of two physically-based slope stability models R. Marin et al.
99. A comparative study of landslide susceptibility mapping using landslide susceptibility index and artificial neural networks in the Krios River and Krathis River catchments (northern Peloponnesus, Greece) C. Polykretis et al.
100. Modeling shallow landslides and root reinforcement: A review I. Murgia et al.
101. Limit equilibrium method-based 3D slope stability analysis for wide area considering influence of rainfall K. Tozato et al.